Waterly

Meet Europe’s best startups of 2024! From healthcare to green energy, across 450+ cities, and voted by millions in HackerNoon’s Startups of the Year 2024. 

Startups of The Year 2024 Winners: Europe

HackerNoon is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Climate Tech industry.

Startups of The Year 2024: 3,246 Startups Nominated in the Climate Tech Industry

Ransomware is on the rise. In 2014, ransomware was the <a href="https://www.bitsighttech.com/blog/ransomware-statistics" target="_blank">22nd most common</a> form of malware. By 2016, it was the 5th. Due to the increased success of ransomware attacks, and the relative ease of distributing it, it has become a favorite of hackers and data thieves. But like all pernicious malware, ransomware is changing. Here, we’ll examine some of the ways ransomware is changing its nature.

The Changing Nature of Ransomware

Discover how AIM Robotics, 2024 HackerNoon Startup of the Year in Waterloo, is transforming the drone industry with AI-driven flight compliance.

Meet AIM Robotics, Winner of Startups of The Year 2024 in Waterloo, Canada

Behind the curtain an immortal soul was alone with God and the Reverend Adolphus Schwartz, priest of the parish.

There was once a priest with cold, watery eyes

Sometimes a yearbook doesn’t quite cut it. In our final semester of university, the Systems Design Engineering class of 2017 was curious and wanted to dig a little deeper. We wanted something that captured our five years at the University of Waterloo and could give a sense of who we had become. What resulted was an in-depth survey, asking questions that covered everything from co-op salaries to love lives, from family origins to dreams for the future. 94% of the 82 students participated, resulting in a complete and comprehensive profile of our&nbsp;class.

University of Waterloo Systems Design Engineering 2017 Class Profile

AI isn’t replacing engineers or PMs—it’s exposing low-value work and raising the bar for judgment, collaboration, and real expertise.

The Biggest AI Bottleneck Is in Your Head

Project DNA helps teams execute projects faster, reduce latency, and turn uncertainty into insight, creating a practical framework for innovation success.

The DNA of Breakthrough Projects: How to Supercharge Innovation and Eliminate Latency

Ian Goldberg has been one of the cypherpunks who have appeared on the TV news —and no, not in a massive legal issue like Julian Assange. Let's learn about him! 

Ian Goldberg, the Cypherpunk Who Hacked Netscape for Fun

The wait is over! After a very exciting competition throughout this past year, the results for the 2024 Startups of the Year, North America are here!

Startups of The Year 2024 Winners: North America

This section details two-alternative forced-choice experiments assessing human preference for MindEye2 reconstructions against random reconstructions.

Human Evaluation Validates MindEye2's Superior Image Reconstruction Quality

Understand the "modality gap" in multimodal learning and how MindEye2 utilizes a diffusion prior to achieve effective embedding alignment

Visualizing Embedding Alignment: UMAP Dimensionality Reduction in MindEye2

Learn how MindEye2 achieves efficient learning by evaluating the effect of reducing the number of pretraining subjects without significant performance loss

Pretraining Efficiency: MindEye2's Performance with Fewer Subjects

Details the evaluation of MindEye2's image reconstructions using two-way comparisons with features extracted from AlexNet, InceptionV3, and CLIP models.

Two-Way Identification: Evaluating MindEye2 Reconstruction Accuracy

Explore MindEye2's image retrieval experiments on the MS-COCO dataset using OpenCLIP bigG embeddings.

COCO Image Retrieval with MindEye2: Challenges and Insights with OpenCLIP bigG Embeddings

To map from OpenCLIP ViT-bigG/14 image latents to CLIP ViT-L/14 image latents during MindEye2 inference we independently trained a linear model

OpenCLIP BigG to CLIP L Conversion: What You Need to Know

To compare the image generation capabilities of our unCLIP model with Versatile Diffusion, we computed Fréchet inception distance (FID)

MindEye2 unCLIP vs. Versatile Diffusion: Evaluating Image Generation from CLIP Latents

In this section, we show how MindEye2 outperforms MindEye1 even without pretraining on other subjects.

MindEye2 (Not Pretrained) vs. MindEye1

In this section, we show more exhaustive evaluation metrics computed for every subject individually using 40 hours and 1 hour of fine-tuning data, respectively.

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data: Single-Subject Evaluations

Here, we present a further analysis of how model performance scales with training data.

Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2

Provides further details about the fMRI dataset used in MindEye2, including preprocessing and normalization procedures.

MindEye2 Dataset: fMRI Preprocessing and Normalization

Details the contributions of each author involved in the development and research of MindEye2.

Behind the Scenes: The Making of MindEye2

We introduce MindEye2, a modeling approach that outputs reconstructions of seen images from fMRI activity with a similar quality to previous approaches

Seeing With Less: MindEye2's Efficient Approach to Brain-Based Image Decoding

Discover MindEye2's innovative functional alignment procedure for cross-subject brain decoding, overcoming limitations of traditional methods 

MindEye2: Novel Functional Alignment for fMRI

ClimateTech

Administrative

Professional Services

Waterly to usługa monitoringu jakości zasobów wodnych - jezior, rzek, stawó...

WATERLY

https://waterly.eu

2-10 emps

Since 2020

Waterly's stories on HackerNoon

Startups of The Year 2024 Winners: Europe

Startups of The Year 2024: 3,246 Startups Nominated in the Climate Tech Industry

The Changing Nature of Ransomware

Meet AIM Robotics, Winner of Startups of The Year 2024 in Waterloo, Canada

There was once a priest with cold, watery eyes

University of Waterloo Systems Design Engineering 2017 Class Profile

The Biggest AI Bottleneck Is in Your Head

The DNA of Breakthrough Projects: How to Supercharge Innovation and Eliminate Latency

Ian Goldberg, the Cypherpunk Who Hacked Netscape for Fun

Startups of The Year 2024 Winners: North America

Human Evaluation Validates MindEye2's Superior Image Reconstruction Quality

Visualizing Embedding Alignment: UMAP Dimensionality Reduction in MindEye2

Pretraining Efficiency: MindEye2's Performance with Fewer Subjects

Two-Way Identification: Evaluating MindEye2 Reconstruction Accuracy

COCO Image Retrieval with MindEye2: Challenges and Insights with OpenCLIP bigG Embeddings

OpenCLIP BigG to CLIP L Conversion: What You Need to Know

MindEye2 unCLIP vs. Versatile Diffusion: Evaluating Image Generation from CLIP Latents

MindEye2 (Not Pretrained) vs. MindEye1

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data: Single-Subject Evaluations

Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2

MindEye2 Dataset: fMRI Preprocessing and Normalization

Behind the Scenes: The Making of MindEye2

Seeing With Less: MindEye2's Efficient Approach to Brain-Based Image Decoding

MindEye2: Novel Functional Alignment for fMRI

Representing this company? Click here to claim and customize this page!

Reviews About Waterly

Waterly WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps